Off-line data processing based on GNSSLOGGER, GNSS system positioning data quality and accuracy analysis

Zixia Shang

doi:10.1117/12.3019575

23 January 2024 Off-line data processing based on GNSSLOGGER, GNSS system positioning data quality and accuracy analysis

Zixia Shang

Author Affiliations +

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781N (2024) https://doi.org/10.1117/12.3019575
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

After decades of rapid development, multiple Global Navigation Satellite Systems (GNSS) have been built and put into use, including the U.S. Global Positioning System (GPS), Russia's GLONASS, China's BeiDou Navigation Satellite System (BDS), and Europe's Galileo system. As a result, global satellite navigation has developed into multiple systems operating simultaneously. To fully utilize the advantages of each system and obtain more stable and reliable results for future research and experimental fusion data, it is necessary to compare and analyse the stability and accuracy of data from each satellite system in detail. The main focus of this paper is: (1) to collect GNSS system data using GNSSLOGGER on different mobile devices; (2) to analyse the collected data using GNSSANALYSISAPP to examine the received GNSS system, satellite power, and pseudo-range variation trends; (3) to plot the collected offline data using MATLAB to distinguish the path data of different GNSS systems; and (4) to demonstrate that the stability, rigidity, and accuracy of the method using a combination of non-differential multi-GNSS systems are much better than those of a single GNSS system. Ultimately, this paper concludes that the use of a combined GNSS system can greatly improve the accuracy and continuity of GNSS positioning when improving the channel quality or hardware equipment is not feasible.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Zixia Shang "Off-line data processing based on GNSSLOGGER, GNSS system positioning data quality and accuracy analysis", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781N (23 January 2024); https://doi.org/10.1117/12.3019575

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KEYWORDS

Satellite navigation systems

Satellites

Data modeling

Instrument modeling

Manufacturing

Receivers

Global Positioning System

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